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The Pfizer Crystal Structure Database: An essential tool for structure-based design at Pfizer.
Gehlhaar, Daniel K; Luty, Brock A; Cheung, Philip P; Litman, Andy H; Owen, Robert M; Rose, Peter W.
Affiliation
  • Gehlhaar DK; Pfizer, Inc., San Diego, California, USA.
  • Luty BA; Independent Consultant, Poway, California, USA.
  • Cheung PP; Refactor BioSciences, San Diego, California, USA.
  • Litman AH; Pfizer, Inc., San Diego, California, USA.
  • Owen RM; Pfizer Ltd, Cambridge, UK.
  • Rose PW; Structural Bioinformatics Laboratory, San Diego Supercomputer Center, San Diego Supercomputer Center, La Jolla, California, USA.
J Comput Chem ; 43(15): 1053-1062, 2022 06 05.
Article in En | MEDLINE | ID: mdl-35394655
ABSTRACT
Pfizer's Crystal Structure Database (CSDB) is a key enabling technology that allows scientists on structure-based projects rapid access to Pfizer's vast library of in-house crystal structures, as well as a significant number of structures imported from the Protein Data Bank. In addition to capturing basic information such as the asymmetric unit coordinates, reflection data, and the like, CSDB employs a variety of automated methods to first ensure a standard level of annotations and error checking, and then to add significant value for design teams by processing the structures through a sequence of algorithms that prepares the structures for use in modeling. The structures are made available, both as the original asymmetric unit as submitted, as well as the final prepared structures, through REST-based web services that are consumed by several client desktop applications. The structures can be searched by keyword, sequence, submission date, ligand substructure and similarity search, and other common queries.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms Limits: Humans Language: En Journal: J Comput Chem Journal subject: QUIMICA Year: 2022 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms Limits: Humans Language: En Journal: J Comput Chem Journal subject: QUIMICA Year: 2022 Document type: Article Affiliation country: United States